code: def parse_args():
      parser = argparse.ArgumentParser(
          description="Validate Mask RCNN networks."
      )
      parser.add_argument(
          "--network",
          type=str,
          default="resnet50_v1b",
          help="Base feature extraction network name",
      )
      parser.add_argument(
          "--dataset",
          type=str,
          default="coco",
          help="Training dataset.",
      )
      parser.add_argument(
          "--num-workers",
          "-j",
          dest="num_workers",
          type=int,
          default=4,
          help="Number of data workers",
      )
      parser.add_argument(
          "--gpus",
          type=str,
          default="0",
          help="Training with GPUs, you can specify 1,3 for example.",
      )
      parser.add_argument(
          "--pretrained",
          type=str,
          default="True",
          help="Load weights from previously saved parameters.",
      )
      parser.add_argument(
          "--save-prefix",
          type=str,
          default="",
          help="Saving parameter prefix",
      )
      parser.add_argument(
          "--save-json",
          action="store_true",
          help="Save coco output json",
      )
      parser.add_argument(
          "--eval-all",
          action="store_true",
          help="Eval all models begins with save prefix. Use with pretrained.",
      )
      parser.add_argument(
          "--use-fpn",
          action="store_true",
          help="Whether to load model with feature pyramid network.",
      )
      args = parser.parse_args()
      return args
  
file_path: gluon-cv/scripts/instance/mask_rcnn/eval_mask_rcnn.py
imports: from __future__ import division
  import os
  import argparse
  import glob
  import logging
  import numpy
  import mxnet
  from tqdm import tqdm
  import gluoncv
  from gluoncv import data
  from gluoncv.data import batchify
  from gluoncv.data.transforms.presets.rcnn import MaskRCNNDefaultValTransform
  from gluoncv.utils.metrics.coco_instance import COCOInstanceMetric
label_desc: Use image node_id 1 for calling a global function with example usage: parse_args() and returns: args